Archive:: International Journal on Data Science and Technology:: Science Publishing Group

International Journal on Data Science and Technology

Archive

Volume 11, Issue 1, March 2025

Research Article
Death Events from Heart Failure Prediction Using Machine Learning Approach

Hosea Isaac Gungbias, Mulapnen Haruna Kassem^*

Issue: Volume 11, Issue 1, March 2025

Pages: 1-10

Received: 19 February 2025

Accepted: 27 February 2025

Published: 11 March 2025

DOI: 10.11648/j.ijdst.20251101.11

Downloads:

Views:

Abstract: Heart failure is a significant global health concern, contributing to high mortality rates and imposing substantial burdens on healthcare systems. Early prediction of mortality in heart failure patients can facilitate timely interventions, enhance patient management, and improve overall survival outcomes. This study applies machine learning techniq... Show More

Download PDF

View Online

Copyright © 2012 -- 2025 Science Publishing Group – All rights reserved.